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Yashesh Gaur
Yashesh Gaur
Microsoft
Verified email at cs.cmu.edu
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Cited by
Year
Exploring neural transducers for end-to-end speech recognition
E Battenberg, J Chen, R Child, A Coates, YGY Li, H Liu, S Satheesh, ...
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2017
234*2017
On the comparison of popular end-to-end models for large scale speech recognition
J Li, Y Wu, Y Gaur, C Wang, R Zhao, S Liu
arXiv preprint arXiv:2005.14327, 2020
962020
Robust speech recognition using generative adversarial networks
A Sriram, H Jun, Y Gaur, S Satheesh
2018 IEEE international conference on acoustics, speech and signal …, 2018
582018
Serialized output training for end-to-end overlapped speech recognition
N Kanda, Y Gaur, X Wang, Z Meng, T Yoshioka
arXiv preprint arXiv:2003.12687, 2020
512020
Internal language model estimation for domain-adaptive end-to-end speech recognition
Z Meng, S Parthasarathy, E Sun, Y Gaur, N Kanda, L Lu, X Chen, R Zhao, ...
2021 IEEE Spoken Language Technology Workshop (SLT), 243-250, 2021
462021
The effects of automatic speech recognition quality on human transcription latency
Y Gaur, WS Lasecki, F Metze, JP Bigham
Proceedings of the 13th International Web for All Conference, 1-8, 2016
432016
Minimum latency training strategies for streaming sequence-to-sequence ASR
H Inaguma, Y Gaur, L Lu, J Li, Y Gong
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
402020
Joint speaker counting, speech recognition, and speaker identification for overlapped speech of any number of speakers
N Kanda, Y Gaur, X Wang, Z Meng, Z Chen, T Zhou, T Yoshioka
arXiv preprint arXiv:2006.10930, 2020
372020
Domain adaptation via teacher-student learning for end-to-end speech recognition
Z Meng, J Li, Y Gaur, Y Gong
2019 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU …, 2019
352019
Speaker adaptation for attention-based end-to-end speech recognition
Z Meng, Y Gaur, J Li, Y Gong
arXiv preprint arXiv:1911.03762, 2019
302019
Internal language model training for domain-adaptive end-to-end speech recognition
Z Meng, N Kanda, Y Gaur, S Parthasarathy, E Sun, L Lu, X Chen, J Li, ...
ICASSP 2021-2021 IEEE International Conference on Acoustics, Speech and …, 2021
232021
A Federated Approach in Training Acoustic Models.
D Dimitriadis, Ken'ichi Kumatani, R Gmyr, Y Gaur, SE Eskimez
Interspeech, 981-985, 2020
232020
Investigation of end-to-end speaker-attributed ASR for continuous multi-talker recordings
N Kanda, X Chang, Y Gaur, X Wang, Z Meng, Z Chen, T Yoshioka
2021 IEEE Spoken Language Technology Workshop (SLT), 809-816, 2021
222021
Large-scale pre-training of end-to-end multi-talker ASR for meeting transcription with single distant microphone
N Kanda, G Ye, Y Wu, Y Gaur, X Wang, Z Meng, Z Chen, T Yoshioka
arXiv preprint arXiv:2103.16776, 2021
192021
Combination of End-to-End and Hybrid Models for Speech Recognition.
JHM Wong, Y Gaur, R Zhao, L Lu, E Sun, J Li, Y Gong
Interspeech, 1783-1787, 2020
132020
Federated transfer learning with dynamic gradient aggregation
D Dimitriadis, K Kumatani, R Gmyr, Y Gaur, SE Eskimez
arXiv preprint arXiv:2008.02452, 2020
132020
Algorithms for speech segmentation at syllable-level for text-to-speech synthesis system in Gujarati
HA Patil, T Patel, S Talesara, N Shah, H Sailor, B Vachhani, J Akhani, ...
2013 International Conference Oriental COCOSDA held jointly with 2013 …, 2013
132013
End-to-end speaker-attributed ASR with transformer
N Kanda, G Ye, Y Gaur, X Wang, Z Meng, Z Chen, T Yoshioka
arXiv preprint arXiv:2104.02128, 2021
122021
Using keyword spotting to help humans correct captioning faster
Y Gaur, F Metze, Y Miao, JP Bigham
Sixteenth Annual Conference of the International Speech Communication …, 2015
122015
Exploring end-to-end multi-channel ASR with bias information for meeting transcription
X Wang, N Kanda, Y Gaur, Z Chen, Z Meng, T Yoshioka
2021 IEEE Spoken Language Technology Workshop (SLT), 833-840, 2021
112021
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